Sort by
Refine Your Search
-
We seek a highly motivated bioinformatician or computational biologist who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a
-
System Technologies Digital Twin Platforms and Data Analytics Predictive Models & Explainable AI (XAI) Methods in Time Series Forecasting Data Retrieval and Processing Time Series Analysis, Clustering, and
-
for the HBSC project Contribute to the quantitative analysis of the Luxembourgish HBSC 2022 data Contribute to the preparation of the Luxembourgish HBSC 2026 survey Contribute to the preparation of the National
-
theory-driven and psychologically informed way. The candidate will focus on the domain of innovative data analysis methods using artificial intelligence and machine-learning. The candidate will have
-
), a pioneering European project funded by the Innovative Health Initiative (IHI). IDERHA is building a federated health data platform to enable seamless integration and analysis of diverse biomedical
-
Research Group. Tasks: Conduct and co-lead quantitative research within large-scale mixed-methods projects Contribute to and coordinate primary data collection and analysis (e.g. surveys, survey experiments
-
interfaces to enable their exploratory and computational analysis. Conduct original data-driven historical research on newspaper and radio sources Contribute to the development of innovative computational
-
of polymers Analysis of the structure of semi-crystalline polymers Mechanical and thermal properties The work involves lab experiments, data acquisition, validating findings, publishing results, and assisting
-
innovative and creative research in theoretical quantum physics, including mathematical modeling and phenomenological and numerical analysis. The PhD student should display scientific ambition and target
-
on multiscale analysis of brain disorders with a focus on Parkinson’s and Alzheimer’s disease, and epilepsy by combining experimental and computational approaches. For a collaborative project within the Institute